doi: 10.4304/jsw.6.5.769-782
Stochastic Process Algebra with Value-Passing and Weak Time Restrictions
- 1 Information Science and Engineering School, Lanzhou University, Lanzhou 730000, China
- 2 Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimen, Beijing 100700, China
- 3 Guangxi University for Nationalities, China Academy of Chinese Medical Sciences, Nanning, 530004, China
- 4 School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
Abstract
Process algebra provides essential tools for studying distributed and concurrent systems. Stochastic process algebra (i.e., YAWN) enhances the process algebra with stochastic extensions which is perfect to analyze phenomena of process with executing durations in the real world.What’s more, in system runs, value passing is tightly bounded with their processes. However, stochastic process algebras lack value passing can limit their expressiveness. Based on this, we propose a process algebra of stochastic process algebra with value passing. This new process algebra can specify the behaviors of systems in a more clear and accurate way. In dealing with relationship of bisimulations, we introduce a new policy of weak time comparison between processes in bisimulation which is more convenient and doable in practice.
Keywords
- stochastic process algebra
- value passin
How to Cite
Guang Zheng, Jinzhao Wu, and Aiping Lu, "Stochastic Process Algebra with Value-Passing and Weak Time Restrictions," Journal of Software, vol. 6, no. 5, pp. 769-782, 2011. https://doi.org/ 10.4304/jsw.6.5.769-782
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).